IdentityMask: A Robust Face-Centric Privacy Protection Against Unauthorized Personalization of Diffusion Models
This work proposes IdentityMask, a robust protection framework that shifts the paradigm from arbitrary confusion to precise, targeted feature corruption, and consistently outperforms prior state-of-the-art approaches in both protection efficacy and robustness.